Article Highlights
Updates every hour. Last Updated: 12-May-2026 04:16 ET (12-May-2026 08:16 GMT/UTC)
7-Apr-2026
Biochar and beneficial bacteria team up to unlock soil phosphorus and boost sustainable agriculture
Biochar Editorial Office, Shenyang Agricultural University
A new study reveals how pairing biochar with beneficial soil bacteria could significantly improve phosphorus availability in soils, offering a sustainable alternative to conventional fertilizers and helping support global food production.
- Journal
- Biochar
7-Apr-2026
New research identifies how to design biochar for removing “forever chemicals” from irrigation water
Biochar Editorial Office, Shenyang Agricultural University
A new study shows that carefully designed biochar can effectively remove harmful “forever chemicals” from recycled water used in agriculture, offering a promising and sustainable solution to protect food systems and public health.
- Journal
- Biochar
7-Apr-2026
Machine learning reveals how biochar can curb phosphorus pollution from farmland
Biochar Editorial Office, Shenyang Agricultural University
A new study has shown that biochar, a carbon-rich material produced from biomass, can significantly reduce phosphorus losses from agricultural soils, offering a promising solution to one of the leading causes of water pollution worldwide. By combining environmental science with machine learning, researchers have developed a powerful predictive tool to optimize how biochar is used in real-world farming systems.
- Journal
- Biochar
7-Apr-2026
Engineered biochar and bacteria team up to lock toxic metals in polluted soils
Biochar Editorial Office, Shenyang Agricultural University
Heavy metal contamination from industrial activities remains a major environmental challenge worldwide, especially at sites affected by lead and zinc smelting. Now, a new study offers a promising, low-cost strategy to stabilize multiple toxic metals in soil using a novel combination of biochar and beneficial bacteria.
- Journal
- Biochar
7-Apr-2026
Light-driven method enables sustainable production of porous semiconducting polymers
Koç University
A new study reports a visible-light-driven method to synthesize porous semiconducting polymers under ambient conditions without metal catalysts, offering a more sustainable and efficient route with strong photocatalytic performance.
- Journal
- Nature Communications
7-Apr-2026
Machine-learning guides discovery of multi-principal element alloys as electrocatalyst for hydrogen evolution reaction
HEP Data Cooperation Journals
This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element alloys. With ultralow material costs and record-breaking electrocatalytic metrics, the NbZnCo2 alloy exhibits exceptional potential for industrial alkaline water electrolyzers.
- Journal
- Acta Physico-Chimica Sinica
7-Apr-2026
Machine learning potentials for property predictions of two-dimensional group-III nitrides
HEP Data Cooperation Journals
A high-precision machine learning potential based on the Deep Potential method was constructed to systematically investigate the lattice dynamics, thermodynamic properties, mechanical behaviors, and thermal transport of two-dimensional Group-III nitrides with first-principles accuracy.
- Journal
- Acta Physico-Chimica Sinica
7-Apr-2026
LASPAI: AI-powered platform for the future atomic simulation
HEP Data Cooperation Journals
A web-based platform integrating generalized global neural network potentials and diffusion generative models was developed to resolve the accuracy-efficiency dilemma and democratize access to complex atomic simulations.
- Journal
- Acta Physico-Chimica Sinica