Results 191 to 200 of about 101,189 (313)

Classical theories of gravity produce entanglement. [PDF]

Nature
Aziz J, Howl R.
europepmc   +1 more source

Advancing Direct Alcohol Fuel Cells: Innovations in Composite‐Based Electrocatalysts and Polymer Support Materials for Enhanced Efficiency

Advanced Energy and Sustainability Research, EarlyView.
This graphical abstract emphasizes the working principle and the various essential factors of the direct methanol fuel cell (DMFCs). Additionally, various parameters, such as the nanoparticle's size and shape, the nature of the electrolyte, the type of support materials, and their fabrication process, also play essential roles in the functioning of the
Kirti Mishra, Samarjeet Singh Siwal, Phil Hart, Vijay Kumar Thakur   +3 more
wiley   +1 more source

Triboelectric Tactile Transducers for Neuromorphic Sensing and Synaptic Emulation: Materials, Architectures, and Interfaces

Advanced Energy and Sustainability Research, EarlyView.
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar, Arunkumar Chandrasekhar, Poongundran Selvaprabhu   +2 more
wiley   +1 more source

Time derivatives of weak values. [PDF]

Sci Rep
Oriols X.
europepmc   +1 more source

Copper Contact for Perovskite Solar Cells: Properties, Interfaces, and Scalable Integration

Advanced Energy and Sustainability Research, EarlyView.
Copper electrodes, as low‐cost, scalable contacts for perovskite solar cells, offer several advantages over precious metals such as Au and Ag, including performance, cost, deposition methods, and interfacial engineering. Copper (Cu) electrodes are increasingly considered practical, sustainable alternatives to noble‐metal contacts in perovskite solar ...
Shuwei Cao, Jianyong Han, Xiaohu Zhao, Yaming Yu, Peng Gao   +4 more
wiley   +1 more source

Inversion of the X-ray restrained wavefunction equations: a first step towards the development of exchange-correlation functionals based on X-ray data. [PDF]

J Appl Crystallogr
Genoni A, Sironi M.
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Computational dataset of cetyl trimethyl ammonium-anion complex structures and simulated infrared spectra. [PDF]

Data Brief
Sharma AK, McMillan O.
europepmc   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
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, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

On the Origin of the Red-Shifted Flavin Absorption Spectra in Fatty Acid Photodecarboxylase. [PDF]

J Phys Chem B
Farina M, Dell'Orletta G, Bodo E, Daidone I.   +3 more
europepmc   +1 more source