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.
Twisted trilayer graphene creates a pattern that changes the material's properties and can turn it into a superconductor. Researchers used a microscope to probe the properties of supermoiré patterns, revealing new states of matter with precisely controllable properties.
Researchers at Harvard and TU Wien have developed a new type of tunable semiconductor laser with smooth, reliable, and wide-range wavelength tuning in a simple chip-sized design. This innovation could replace many types of tunable lasers with a smaller, more cost-effective package.
A team led by L. Mahadevan found that young anacondas can execute a quick, one-off skating movement called the 'S-start' due to their physical attributes. This movement is similar to sidewinding and could inspire new robotic systems.
A team of researchers at Harvard University has demonstrated the growth of green algae inside shelters made from bioplastics in Mars-like conditions. The experiments show a closed-loop system that can sustain itself and grow over time, offering a potential solution for sustainable habitats in space.
A new online platform, SMRT-Flames, estimates the health impacts of wildfire smoke and provides fire managers with tools to assess potential smoke exposure. The app uses a Harvard-developed computer model to predict how fires would behave across regions and how smoke would pool and disperse.
Bioengineering researchers at Harvard John A. Paulson School of Engineering and Applied Sciences developed a soft, thin, stretchable bioelectronic device that can be implanted into a tadpole embryo's neural plate, recording electrical activity from single brain cells with millisecond precision.
Researchers developed a machine learning framework that can predict how materials respond to electric fields up to a million atoms, accelerating simulations beyond quantum mechanical methods. This allows for accurate, large-scale simulations of material responses to various external stimuli.
Researchers at Harvard developed link-bots, centimeter-scale robots composed of V-shaped chains with notched links, capable of coordinated movements and emergent collective behavior. The team demonstrated link-bots' ability to move forward, stop, change direction, squeeze through gaps, and cooperate on tasks.
Materials researchers at Harvard have created a way to produce natural rubber that retains its stretchiness and durability while improving its ability to resist cracking. The new material is four times better at resisting slow crack growth during repeated stretching and 10 times tougher overall.
The Harvard RoboBee has been equipped with crane fly-inspired legs and an updated controller, allowing it to land safely on various surfaces. The robot's delicate actuators were protected by the improved design, which enabled controlled landing tests on a leaf and rigid surfaces.
Physicists at Harvard SEAS have created a compact, on-chip mid-infrared pulse generator that can emit short bursts of light without external components. This device has the potential to speed up gas sensor development and create new medical imaging tools.
Harvard physicists develop an optical vortex beam that twists and changes shape, resembling spiral shapes found in nature. The 'optical rotatum' has potential applications in controlling small particles and micro-manipulation, and its creation is made possible with a single liquid crystal display.
Researchers have developed an on-chip twisted moiré photonic crystal sensor that can simultaneously measure wavelength, polarization, and perform hyperspectral imaging. The device uses MEMS technology to control the twist and distance between layers in real time.
Harvard researchers have created a photon router that could plug into quantum networks to create robust optical interfaces for noise-sensitive microwave quantum computers. The breakthrough enables control of microwave qubits with optical signals generated many miles away, bridging the energy gap between microwave and optical photons.
A new bilayer metasurface, made of two stacked layers of titanium dioxide nanostructures, has been created by Harvard researchers. This device can precisely control the behavior of light, including polarization, and opens up a new avenue for metasurfaces.
Scientists studied rolling physics of real-world objects, including spheres and cylinders on inclines, finding periodic motion with predictable patterns. The research demonstrates topological theorems and illustrates abstract mathematics through simple experiments.
Anna Seigal, assistant professor at Harvard's John A. Paulson School of Engineering and Applied Sciences, has received the 2025 Sloan Research Fellowship for her work on connecting geometric invariant theory and maximum likelihood estimation in data science.
Researchers at Harvard created a new type of interferometer that can modulate aspects of light in one compact package, enabling precise control over light's frequency and intensity. This breakthrough has the potential to be used in advanced nanophotonic sensors or on-chip quantum computing.
The Harvard robot uses latch-mediated spring actuation to jump high and cover long distances relative to its size. It combines walking and jumping modes for effective navigation in natural environments.
Researchers developed mini biohybrid rays using cardiomyocytes and rubber, demonstrating improved swimming efficiencies approximately two times greater than previous biomimetic designs. The application of machine-learning directed optimization enabled an efficient search for high-performance design configurations.
Harvard researchers have developed a silicon chip capable of recording small yet telltale synaptic signals from a large number of neurons. The chip has successfully mapped over 70,000 synaptic connections from approximately 2,000 rat neurons.
Researchers have developed a 3D printing technique to create liquid crystal elastomers with controllable alignment, leading to new possibilities for shape-morphing materials. By tuning nozzle design, print speed, and temperature, they achieved uniform molecular-scale alignment, translating to prescribed mechanical behavior.
Researchers at Harvard University used photochemical modeling to simulate how ancient Mars' climate was affected by atmospheric chemistry and crustal hydration. They found that episodic warm spells were driven by crustal hydration, leading to the buildup of hydrogen in the atmosphere.
Quinone-based carbon capture systems have been found to trap and release CO2 from the atmosphere through two distinct mechanisms. The study provides critical insights into the interplay of electrochemistry in these safer systems.
Researchers at Harvard University have developed a tissue-anchoring mechanism for medical devices, inspired by the circular hook-like attachment organ found in intestinal tapeworms. The device can be deployed in under 1 millisecond and anchors into soft tissue with minimal damage.
A new reinforcement learning framework, AVATARS, uses diverse sensor streams to track whales and predict their surface locations. The framework aims to minimize missed encounters and improve data collection for Project CETI.
A new study by Harvard researchers finds alarmingly high PFAS concentrations in fish tissues even up to 8 km from the military base. The results underscore the urgent need for more comprehensive monitoring of PFAS in aquatic ecosystems, particularly in regions where freshwater fishing is an important food source.
Studies show that the cerebellum is critical for forming stable memories for sensorimotor skills, largely independent of short-term memory systems. Researchers found that longer time intervals between trials increased reliance on impaired long-term memory.
Industrial fishing practices in tropical and subtropical waters release high levels of methylmercury into the ocean. The majority of this mercury is found in large pelagic fish like tuna, which are then consumed by humans. This can lead to developmental delays in children and impaired cardiovascular health in adults.
A team of researchers has developed a platform to probe, interact with and control quantum systems in silicon. They used an electric diode to manipulate qubits inside a commercial silicon wafer, exploring how the defect responds to changes in the electric field and tuning its wavelength within the telecommunications band.
Research suggests that large-language models could play a role in managing the energy grid, particularly in emergency response, crew assignments, and wildfire preparedness. However, significant challenges remain, including data availability, safety guardrails, and reliability, which must be addressed to ensure safe deployment.
Scientists at Harvard John A. Paulson School of Engineering and Applied Sciences have developed a compact, single-shot polarization imaging system that can provide a complete picture of polarization. The system uses two thin metasurfaces to capture the most complete polarization response of an object in real-time.
A new study led by Harvard researchers found that the EPA underestimates methane emissions from landfills and urban areas, with emissions being on median 77% higher than estimated. The team's high-resolution map of methane emissions highlights the importance of pinpointing sources of these emissions.
Research finds that the Arctic warming is causing a decline in dust levels across India, the Persian Gulf Coast, and the Middle East. The study suggests that addressing dust reduction should be done in tandem with efforts to curb emissions and mitigate climate change.
The new metafluid can transition between Newtonian and non-Newtonian states, allowing for programmable viscosity and compressibility. The researchers demonstrated the fluid's capabilities in a hydraulic robotic gripper, picking up objects of varying weights without crushing them.
Scientists from Project CETI have developed suction cups inspired by clingfish to attach to sperm whales without causing harm. The new design has shown promise in withstanding the forces of a swimming whale and will be tested on sperm whales in Dominica.
Researchers have developed a novel catalyst platform that enhances the selectivity of catalytic reactions by trapping nanoparticles to prevent agglomeration. The distance between particles plays a crucial role in determining the product yield, with increased separation leading to more efficient production of intermediate chemicals.
A recent Harvard University study found that soil moisture increased across 57% of the US during summer between 2011-2020, contradicting the assumption that rising temperatures lead to drier soils. Precipitation, rather than temperature, is the primary driver of soil moisture trends.
A team of scientists discovered that fractures propagate in starts and stops, moving through materials at high speeds. The amplitude and time between jumps depend on the viscosity of the liquid injected into the rock.
A team of researchers from Harvard and Texas developed a soft implantable device with dozens of sensors to record single-neuron activity stably for months. The device uses fluorinated elastomers and is 10,000 times softer than conventional flexible probes.
Researchers at Harvard John A. Paulson School of Engineering and Applied Sciences developed a 10-centimeter-diameter glass metalens that can image the sun, moon, and distant nebulae with high resolution.
Researchers have developed a new solid state battery design that can be charged and discharged over 6,000 times, with the ability to recharge in just 10 minutes. The breakthrough uses micron-sized silicon particles to constrict the lithiation reaction and facilitate homogeneous plating of lithium metal.
A soft, wearable robot was used to help a person living with Parkinson’s disease walk without freezing, eliminating the debilitating symptom and allowing them to regain their independence. The device provided instantaneous effects and consistently improved walking in a range of conditions.
Researchers developed a new approach to improve particle-reinforced rubber's fatigue threshold by increasing polymer chain length and entanglement density. This multiscale stress deconcentration method increases the material's resistance to crack growth under repeated stretching, reducing pollution from shed rubber particles.
A team of researchers developed a theoretical framework that can reproduce and predict the patterns associated with gastrulation in a chicken embryo. Small changes in cell parameters and behavior can have a dramatic impact on the resulting gastrulation patterns, which are seen in other species such as frogs, fish, and chameleons.