Results 121 to 130 of about 3,037,509 (303)
Efficient Screening of Organic Singlet Fission Molecules Using Graph Neural Networks
A high‐throughput screening framework based on graph neural networks (GNNs) and multi‐level validation facilitates the identification of singlet fission (SF) candidates. By efficiently predicting excitation energies across 20 million molecules, and integrating TDDFT calculations, synthetic accessibility assessments, and GW+BSE calculations, this ...
Li Fu +5 more
wiley +1 more source
Budgeting in the time of COVID-19
reservedThe COVID-19 crisis is one of the worst events of our time, whose effects are changing the lives of nations, firms, and individuals across the entire world. According to the World Health Organization, as of January 29th 2022, the virus has taken
MENIN, PIETRO
core
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
No other management tool provides the operational direction that a well-planned budget can. Now in a new edition, this book provides updated coverage on issues such as budgeting for exempt organizations and nonprofits in light of the IRS' newly issued ...
Lalli, William, Lalli, William R.
core
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
On the bias of yield-based capital budgeting methods [PDF]
The aim of this paper is twofold. First, we present a new capital budgeting method, called the real rate of return (RRR), which has been developed for solving the inconsistency of the modified internal rate of return (MIRR) with shareholders' wealth ...
Olivier Rousse
core
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Photonic‐Enabled Energy‐Efficient Transparent Neuromorphic Computing Devices: A Review
Transparent photonic neuromorphic computing devices merge optics and brain‐inspired computing to overcome von Neumann bottlenecks with ultrafast, low‐energy processing. By exploiting transparent oxides, 2D materials, phase‐change materials, and hybrid heterostructures, these platforms enable photonic synapses, memory, and logic for see‐through edge ...
Shuvaraj Ghosh +8 more
wiley +1 more source
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 +13 more
wiley +1 more source
Dalam organisasi sector public termasuk pemerintahan, anggaran merupakan salah satu isu yang sangat penting untuk dikaji. Sejak diterapkannya penganggaran berbasis kinerja, semua pemerintah daerah dituntut untuk mampu menghasilkan kinerja keuangan ...
Taufik Kurrohman
doaj

