Results 121 to 130 of about 47,093 (217)
Evolution of Physical Intelligence Across Scales
By following the evolution of physical intelligence across scales, this article shows how intelligence arises from materials, structures, physical interactions, and collectives. It establishes physical intelligence as the evolutionary foundation upon which embodied intelligence is built.
Ke Liu +7 more
wiley +1 more source
The cobalt(II) bis(trifluoroacetylcamphorate) scaffold exhibits versatile coordination chemistry with solvent‐driven ligand exchange and geometrical rearrangements, associated with unique chiroptical properties. Microcrystalline suspension of [Co(tfc)2(CH3CN)2] revealed the largest VCD dissymmetry factor ever reported (g ≈ 0.2 at 1600 cm−1), arising ...
Gianmarco Papi +4 more
wiley +2 more sources
A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows +7 more
wiley +1 more source
Two isostructural conjugated‐MOFs (Fe‐Tp and Mn‐Tp) photocatalysts were engineered with nonequivalent microenvironmental redox tuning for hydrogen peroxide production. The manganese analog engages both the oxygen reduction reaction and the water oxidation reaction while suppressing decomposition, delivering 10 487 µmol g−1 h−1 with an apparent quantum ...
Kayaramkodath Chandran Ranjeesh +10 more
wiley +2 more sources
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios +4 more
wiley +1 more source
Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers
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
The Polytope Formalism: application to molecular constitution and the prospect of a complete description of Chemical Space. [PDF]
Canfield PJ, Crossley MJ.
europepmc +1 more source
R<sub>1ρ</sub> relaxation functions for weak, intermediate and strong collision models, revisited for frequency swept RF pulses. [PDF]
Sorce DJ, Michaeli S.
europepmc +1 more source

