MAY 07, 2020 3:04 PM PDT

Machine-Learning Algorithms Explain Why Batteries Decline

WRITTEN BY: Nouran Amin

Researchers at the Department of Energy's SLAC National Accelerator Laboratory have used machine learning methodology to study how lithium-ion batteries degrade over time. Scientists used sophisticated algorithms paired with X-ray tomography data to generate a clear picture of how a particular battery component, the cathode, loses its efficiency with time.

Learn more about Lithium-Ion batteries:

Findings were published in Nature Communications and focused on the composition of cathodes made of nickel-manganese-cobalt, or NMC. Results showed that NMC cathodes are held together by a conductive carbon matrix and when they start to break away that results in the degradation process. In addition, large NMC particles have a greater capacity to decline over smaller particles.

That's important because researchers had generally assumed that by making battery particles smaller, they could make longer-lasting batteries -- something the new study suggests might not be so straightforward, says Yijin Liu, a staff scientist at SLAC and a senior author of the new paper.

To address these issues, researchers sought to seek a subfield of machine learning algorithms known as computer vision which can help scan images.

Source: Science Daily 

About the Author
  • Nouran is a scientist, educator, and life-long learner with a passion for making science more communicable. When not busy in the lab isolating blood macrophages, she enjoys writing on various STEM topics.
You May Also Like
OCT 21, 2021
Technology
Telehealth Aids Early Autism Detection and Diagnosis
OCT 21, 2021
Telehealth Aids Early Autism Detection and Diagnosis
Since the start of the COVID-19 pandemic, telehealth has become a much more prominent fixture in healthcare practice. Wh ...
NOV 04, 2021
Drug Discovery & Development
Transcranial Magnetic Stimulation Improves Depression in 80% Patients
NOV 04, 2021
Transcranial Magnetic Stimulation Improves Depression in 80% Patients
A novel form of transcranial magnetic stimulation (TMS) treatment improves symptoms of depression within days of treatme ...
NOV 15, 2021
Drug Discovery & Development
Injectable Therapy Reverses Paralysis within 4 Weeks
NOV 15, 2021
Injectable Therapy Reverses Paralysis within 4 Weeks
Researchers have developed an injectable therapy that can repair tissue damage and reverse paralysis in mice within four ...
NOV 18, 2021
Immunology
Ultrasound Helps Shuttle Cancer-Killing Antibodies to the Brain
NOV 18, 2021
Ultrasound Helps Shuttle Cancer-Killing Antibodies to the Brain
Antibody therapies harness the immune system's power to fight a broad spectrum of diseases, from cancer to infectiou ...
NOV 22, 2021
Microbiology
Researchers Solve the Structure of the HIV Capsid, May Be a New Drug Target
NOV 22, 2021
Researchers Solve the Structure of the HIV Capsid, May Be a New Drug Target
Though treatments are available, there is no cure or vaccine from HIV, which impacts about 38 million people worldwide. ...
NOV 24, 2021
Technology
A Wearable Device for Detecting and Reversing Overdoses
NOV 24, 2021
A Wearable Device for Detecting and Reversing Overdoses
Since the turn of the century, the number of deaths caused by drug overdoses has almost quadrupled, totaling almost half ...
Loading Comments...