Results 181 to 190 of about 61,046 (248)

Lessons From Drug Discovery for Cryoprotective Agent Design: An AI‐Oriented Perspective

Advanced Science, EarlyView.
Cryoprotectant design is reframed through the lens of drug discovery as a multiparameter optimization problem. This perspective highlights how AI and systematic design strategies could enable safer, more effective cryoprotectants, while identifying key limitations that currently constrain predictive progress in cryobiology. ABSTRACT Cryopreservation is
Dominika Wilczok, Jesús Valdés‐Hernández, Varinia Bernales, Alán Aspuru‐Guzik, Alex Zhavoronkov   +4 more
wiley   +1 more source

Using artificial intelligence for physical exercise and healthy ageing among older adults: a scoping review. [PDF]

BMC Geriatr
Ye MZ, Jiang J, Chen Z, Ng DTK, Kwok TT.
europepmc   +1 more source

Beyond Molecular Determinism: State‐Convergent Polymerization as a Functional Design Principle Under Chemical Complexity

Advanced Science, EarlyView.
This work introduces state‐convergent polymerization (SCP), a polymerization framework in which chemically diverse reaction pathways converge toward a reproducible functional polymeric state rather than a defined molecular structure. Using melanin and polydopamine as exemplars, SCP explains how robust polymer functions emerge under chemical and ...
Seonki Hong
wiley   +1 more source

Thermodynamics-Informed Machine Learning of Organic Electrode Material Solubility in Nonaqueous Electrolytes. [PDF]

J Phys Chem B
Houser AM, Muthyala MR, Sorourifar F, Xu J, Paulson JA, Zhang S.   +5 more
europepmc   +1 more source

Multiferroic‐Centric Materials and Systems Engineering for Battery Applications: An Insight Into Mechanisms, Strategies, and Characterizations

Advanced Science, EarlyView.
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su, Yanda Zhu, Hao Peng, Manman Li, Xuzihan Zhang, Meixiao Wu, Siyuan Zhang, Yuhan Zeng, Jiwen Liao, Ming Luo, Hetaishan Huang, Yutong Wang, Sean Li, Wenxian Li   +13 more
wiley   +1 more source

Physical embodiment enables information processing beyond explicit flow sensing in active matter. [PDF]

Sci Adv
Paul D, Milosevic N, Scherf N, Cichos F.
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

DeepPath: overcoming data scarcity for protein transition pathway prediction using physics-based deep learning. [PDF]

Chem Sci
Pang YT, Yang L, Kuo KM, Gumbart JC.
europepmc   +1 more source

Machine‐Learning‐Enhanced Printed Vertical Magnetoresistive Sensors for Transparent, Flexible, Multimodal Interactive Magnetoelectronics

Advanced Science, EarlyView.
This study presents printed magnetoresistive sensors with a vertically aligned architecture that enables high optical transparency and mechanical flexibility. By integrating deep learning for the analysis of complex spatiotemporal signal patterns, the system further achieves intelligent multimodal interaction capabilities.
Rui Xu, Guannan Mu, Oleksandr V. Pylypovskyi, Qihao Zhang, Rico Illing, René Hübner, Ran He, Andreas Knüpfer, Sebastian Lehmann, Olha Bezsmertna, Kornelius Nielsch, Denys Makarov   +11 more
wiley   +1 more source

Parental perceptions of risky play and preschooler's motor creativity: mastery motivation as mediator and gender as moderator. [PDF]

Front Psychol
Karaca NH, Gözüm AİC, Kaya ÜÜ, Uzun H, Metin Ş.   +4 more
europepmc   +1 more source