Results 171 to 180 of about 79,268 (265)

Crystal Structure Prediction of Inorganic Materials: A Benchmark and Modern Evaluation

open access: yesAdvanced Intelligent Discovery, EarlyView.
Predicting a crystal’s structure from composition alone is a long‐standing challenge in materials discovery. The CSP180 benchmark of 180 inorganic crystals evaluates thirteen crystal structure prediction algorithms requiring no density functional theory (DFT) against DFT‐based baselines across twelve metrics.
Lai Wei   +9 more
wiley   +1 more source

A systematic map of generative AI guidelines and reporting in ecology and evolutionary biology: towards the framework of AI disclosure for Improved Transparency (AIdIT). [PDF]

open access: yesRes Integr Peer Rev
Drobniak SM   +14 more
europepmc   +1 more source

A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images

open access: yesAdvanced Intelligent Discovery, EarlyView.
A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski   +5 more
wiley   +1 more source

Particle Swarm Optimization as a Noise‐Tolerant Strategy for High‐Entropy Alloy Research

open access: yesAdvanced Intelligent Discovery, EarlyView.
A customized particle swarm optimization algorithm is benchmarked against batch Bayesian optimization across four high‐entropy alloy oxygen‐reduction landscapes. While both methods locate the global optimum comparably under noise‐free conditions, Bayesian optimization’s surrogate model tends to overfit noisy data.
Ahmad Tirmidzi   +2 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

open access: yesAdvanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica   +38 more
wiley   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

open access: yesAdvanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir   +6 more
wiley   +1 more source

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