Results 131 to 140 of about 42,506 (260)
De Novo Autogenic Engineered Living Functional Materials
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad +9 more
wiley +1 more source
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley +1 more source
Layer ensemble averaging for fault tolerance in memristive neural networks. [PDF]
Yousuf O +10 more
europepmc +1 more source
Closed‐Loop Solid‐State Synthesis Planning for Materials Discovery With Large Language Models
Leveraging literature data, we build a large‐language‐model‐driven workflow that extracts synthesis steps from 4407 papers, retrieves similar precedents, and generates candidate solid‐state synthesis recipes. The system benchmarks against ground‐truth and then operates in a closed loop with experiments to synthesize oxy‐selenide electrolyte materials ...
Dong Won Jeon +9 more
wiley +1 more source
Ensemble averaging in gas chromatography [PDF]
Leslie J. Lorenz +2 more
openaire +3 more sources
Ensemble averaging deep neural network for botnet detection in heterogeneous Internet of Things devices. [PDF]
Wardana AA +3 more
europepmc +1 more source
Bandgap‐Dependent Band‐to‐Band Tunneling in Carbon Nanotube Transistors
We systematically investigate bandgap‐dependent BTBT in SWCNT transistors by comparing wide‐bandgap (6,5) (Eg≈1.13 eV), medium‐bandgap HiPco, and narrow‐bandgap Arc‐discharge (Eg≈0.59 eV) SWCNT networks. The narrow‐bandgap networks show stronger BTBT, higher off‐state leakage, and lower on/off ratio, while wide‐bandgap (6,5) devices suppress BTBT and ...
Yuxiang Wei +10 more
wiley +1 more source
Quantum Resonances and Ensemble Average
We have argued in previous notes that the free particle wavefunction exp(-iEt+ipx) is a complex probability used to describe interactions. As a result, quantum calculations are statistical ones and only provide part of all possible information. If an interaction only involves space, one may use exp(ipx), as in a 2-slit calculation which uses an OR ...
openaire +2 more sources

