Researchers create powerful optical device with layered semiconductor and metasurface, enhancing nonlinear frequency conversion and enabling efficient light mixing and transformation. The device has potential applications in telecommunications, quantum communication, and photonic quantum computing.
Harvard researchers have developed a mechanics-based framework to control crumpling on inflatable membranes, enabling the creation of reconfigurable, bistable structures. By locally controlling crumples on the surface, the researchers can tune the stability of the whole structure, giving rise to complex shapes and forms.
SEAS researchers demonstrate a unique 'all-mechanical coherence protection' of a silicon-vacancy spin in diamond using continuous mechanical driving fields made of phonons. This approach extends the spin coherence time by roughly a factor of three, establishing the potential for compact, sound-based quantum networks on chips.
A new smartphone app called Mobilio uses AI, machine learning, and personalized audio cues to provide turn-by-turn directions, path guidance, and obstacle avoidance for people with blindness or low vision. The app completed outdoor navigation tasks 13% faster and reduced obstacle contact by 41% compared to Google Maps and a white cane.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences developed an AI recommendation model that incorporates reinforcement learning to adjust to the uniqueness of each user. This approach improved human-AI performance over traditional one-size-fits-all decision support.
Researchers have developed a way to quickly create customizable synthetic blood vessel grafts in just minutes using additive manufacturing. The new technique, called Focused Rotary Jet Spinning, allows for precise control over diameter and wall thickness, making it ideal for acute trauma situations and complex pediatric heart surgeries.
A team of researchers at Harvard and Max Planck Institute have developed three new functional components for photonic microchips using an inverse design algorithm. The compact designs are about 500 times smaller than conventional designs and offer a path toward higher-performance integrated light technologies.
Researchers at Harvard's SEAS have created unique machine-knitted fabrics that 'snap' between multiple stable shapes, exhibiting multistability. The team embedded fine conductive yarns to create soft, stretchable electric switches that change state as the textile snaps back and forth.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a new AI framework called Orla that streamlines building and running AI workflows. In tests, Orla reduced computing costs and response times without sacrificing quality.
Researchers create collapsible scissored surfaces based on networks of interconnected scissor mechanisms that can transform into curved surfaces. The new approach completes a trilogy of metamaterial design principles: origami (folds), kirigami (cuts), and pantograph lattices (linkages).
A Harvard-led team has demonstrated synthesizing 64 distinct DNA sequences on a silicon chip in parallel using a water-based enzymatic process. This breakthrough sets a new benchmark for parallel DNA synthesis and paves the way for smaller, safer, and more accessible DNA-writing instruments.
Researchers at Harvard's SEAS have developed a highly sensitive calorimeter that can detect metabolic heat signals on the order of 100 picowatts in living cells. The device tracks the growth of small populations of bacteria in real-time, including monitoring how bacterial growth changes in response to different antibiotics.
A new AI system, Empirical Research Assistance (ERA), can automatically write scientific software programs that outperform human-written ones. ERA combines a large language model with search strategies to explore and refine thousands of pieces of code, reducing the time required for exploration from months to hours or days.
A Harvard-led study developed BRIDGE, a simulation technology that reinterprets traditional non-disabled basketball footage into realistic wheelchair basketball video representations. The system significantly improved how natural player postures appeared and made tactical intentions easier to understand.
Scientists have successfully demonstrated atomic spin qubit interaction with a single-quantum sound wave, opening up new possibilities for quantum information storage and sensing applications. The experiment uses phonons to interact with atomic defects in diamond, enabling precise measurement of forces and temperatures.
Researchers create shape-morphing filaments using rotational multimaterial 3D printing, enabling programmable artificial muscles that bend and twist on demand. The breakthrough could accelerate the development of complex technologies such as soft robotics, energy damping, and biomedical devices.
A Harvard study resolves a longstanding climate puzzle by proposing that the Sturtian glaciation could have lasted 56 million years due to oscillating 'snowball' and 'hothouse' conditions. The researchers suggest intense weathering of volcanoes triggered global glaciations, which warmed and retreated over repeated cycles.
Researchers developed a fleet of cooperative robots that, like ants, can spontaneously organize to build and dismantle structures without central control. They identified key parameters needed for excavation and building performance using simple local rules.
The Harvard-led team demonstrates a micron-scale photonic device that generates two orders of magnitude more UV light on a chip than previous approaches. By converting red light to UV light through frequency upconversion, the researchers create high-power, low-loss, compact UV sources.
Researchers discovered that ultrasoft elastic materials generate a V-shaped wake similar to boat wakes, blurring the distinction between wave behavior on solids and fluids. This finding could lead to new approaches for soft-tissue diagnostics and understanding the properties of natural and engineered soft materials.
Harvard engineers develop new method to preserve long molecular chains in natural rubber, resulting in composite materials that are both stiff and tough. The innovation has the potential to cut waste, reduce tire dust pollution, and open new avenues for high-performance elastomers.
The study, led by Lucy Liu and L. Mahadevan, shows that adding the right amount of noise to individual robot movements can ease gridlock and improve efficiency in crowded environments. The researchers used computer simulations and experiments with small robots to test their ideas.
A new database, led by Harvard computer scientist Salil Vadhan, enables companies to adopt differential privacy framework, providing real-world applications for protected data. The Differential Privacy Deployments Registry aims to promote widespread adoption and refinement of the technology.
A new laser source generates a specific type of light source called a frequency comb in the mid-infrared region, paving the way for miniaturization. The device overcomes engineering challenges to produce bright, stable, and compact frequency combs.
Researchers propose a foundational framework to help multi-agent, connected systems decide what information they can trust before acting. The 'cy-trust' concept assigns a numerical trust value between 0 and 1 to data from other agents based on sensing, context, network behavior, and past experience.
Engineers at Harvard create microcombs on photonic chips, enabling compact, programmable frequency combs for precision measurement and telecommunications applications. The breakthrough makes electro-optic microcombs more practical, energy efficient, and diverse.
The Harvard researchers' new device is elegantly designed to be tunable, with a bilayer design that becomes geometrically chiral and able to 'read' chiral light. By using the MEMS device to continuously vary the twist angle and interlayer spacing, the team showed they could tune the device's intrinsic ability to read different chiral l...
Researchers discovered a simple strategy for snakes to stand upright without limbs, concentrating bending and muscle activity into a short boundary layer near their base. This approach reduces energy required while maintaining balance, offering design principles for soft robots and medical devices.
A team of researchers used high-speed imaging to investigate soft solids sliding on rigid substrates, discovering that squeaking emerges from supersonic detachment pulses. The study found a relationship between surface geometry and the repetition rate of these pulses, impacting frictional resistance.
A new machine learning model interprets leg motion as expended energy, providing a more accurate measure of calories burned. The device has been shown to have double the accuracy of commercial smartwatches and activity trackers.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences have discovered a new way to generate ultra-precise, evenly spaced laser light combs on a photonic chip. This breakthrough could miniaturize optical platforms like spectroscopic sensors or communication systems.
The Harvard team developed a new microfabrication method to produce high-performance, curved optical mirrors with extremely smooth surfaces. The mirrors can control light at near-infrared wavelengths, enabling fast and efficient quantum networking.
Researchers at Harvard's John A. Paulson School of Engineering and Applied Sciences have developed a new fabrication method for printing robotic devices with long filaments featuring precisely placed hollow channels. This allows the device to bend and deform in predetermined ways, enabling the creation of soft robots with predictable s...
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
A new study from Harvard found that North Atlantic pilot whales have 60% lower concentrations of per- and polyfluoroalkyl substances (PFAS) in their bodies since the phaseout of these chemicals. The researchers measured bulk organofluorine levels as a proxy for total PFAS concentrations, including newer types of PFAS.
A team from Harvard and University of Lisbon found that silica, a low-refractive index material, can be used for making metasurfaces despite long-held assumptions. They discovered that by carefully considering the geometry of each nanopillar, silica behaves as a metasurface, enabling efficient design of devices with relaxed feature sizes.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences quantify the role of climate change in wildfires and air quality, finding that 60-82% of total burned area in western US forests is directly attributable to warming temperatures and drier conditions caused by climate change.
A Harvard-designed bio-logger captures high-fidelity audio of sperm whale codas, which are later analyzed by machine learning models to uncover structured communication. Recent results show that sperm whales have their own alphabet and use vowels and diphthongs in their language.
A study published in Science Advances found that unusually large particles of wildfire smoke had a significant cooling effect on the region they were observed in, increasing outgoing radiation by 30-36% compared to smaller smoke particles. This effect has not been included in current climate models.
Researchers explore using municipal solid waste as a low-emission, cost-effective feedstock for sustainable aviation fuel, reducing greenhouse gas emissions by 80-90%. The study suggests that adopting municipal solid waste-based jet fuels could save airlines money under carbon pricing systems.
A recent study from Harvard John A. Paulson School of Engineering and Applied Sciences uses wearable sensor technology and machine learning to estimate ground-reaction forces in runners. This data can provide insights into performance and injury, enabling the development of devices that deliver real-time feedback to users.
A team of engineers at Harvard John A. Paulson School of Engineering and Applied Sciences designed a proof-of-concept walking robot using only four moving parts connected by rubber bands and powered by one motor. The robot can find its way through mazes, avoid obstacles, and sort objects by mass without electronic control systems.
A team of researchers developed a computational method that can design intrinsically disordered proteins with desired properties. The work uses automatic differentiation to optimize protein sequences and leverages molecular dynamics simulations for precision. This breakthrough has the potential to reveal new insights into diseases like...
Researchers at Harvard SEAS have developed a gentler, more sustainable way to break down keratins and turn leftover wool and feathers into useful products. The process uses concentrated lithium bromide to create an environment favorable for spontaneous protein unfolding.
The new Harvard device can turn purely digital electronic inputs into analog optical signals at high speeds, addressing the bottleneck of computing and data interconnects. It has the potential to enable advances in microwave photonics and emerging optical computing approaches.
A new computational framework has been developed to optimize cellular self-organization, allowing scientists to understand and control how cells grow and interact. The framework uses machine learning tools to extract rules that guide cell behavior, enabling the creation of artificial organs and potential treatments for cancer.
A wearable robot has been upgraded to provide personalized assistance to ALS and stroke patients. The device uses machine learning and a physics-based model to adapt to an individual user's movements, offering more nuanced help with daily tasks.
Researchers have developed a novel way to reach the unexplored mesosphere using lightweight flying structures that can float using sunlight. The devices, which were built at Harvard and other institutions, levitated in low-pressure conditions and demonstrated potential for climate sensing and exploration.
Researchers create metasurfaces to control photons and entangle them for quantum computing and sensing. The discovery could lead to miniaturized optical setups with improved stability, robustness, and cost-effectiveness.
Bioengineers at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a computational model called BrainFlow that simulates cerebrospinal fluid flow in the presence of shunt implants, providing insight into optimal shunt design and placement for hydrocephalus patients.